Share Email Print

Proceedings Paper

Modeling illumination effects to retrieve true reflectance in rugged terrain
Author(s): Guangjian Yan; Jun Guo; Jindi Wang; Xiaowen Li; Chongguang Zhu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Topographic effects are the main obstacles to further analysis of satellite spectral data in mountainous area, especially to quantitative remote sensing. To obtain the true reflectance ofthe land surface, we must remove the topographic effects first. A physical model for rugged terrain is developed in this paper. Both atmospheric and topographic effects are considered in the model. 3 illumination sources are expressed analytically which include: 1) direct solar irradiance; 2) diffuse sky irradiance; 3) reflected irradiance from the adjacent terrain. Based on a quick searching algorithm for local horizon. the most complex part in the model—the reflected radiation can be calculated throughout the whole image in an economic computation time. In stead of using the field measured data or standard atmospheric condition obtained from the commercial software, we invert the atmospheric parameters from the image itself based on stochastic programming theory, a priori knowledge is used in the inversion process. To test the model, a Landsat TM-scene is matched to a digital elevation model(DEM) which has a resolution of Im for elevation. The true reflectance map is obtained from the model. It is found that most ofthe topographic effects are removed in the map.

Paper Details

Date Published: 17 August 1998
PDF: 6 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317802
Show Author Affiliations
Guangjian Yan, Institute of Remote Sensing Application (China)
Jun Guo, Institute of Remote Sensing Application (United States)
Jindi Wang, Institute of Remote Sensing Application (China)
Xiaowen Li, Institute of Remote Sensing Application (United States)
Chongguang Zhu, Institute of Remote Sensing Application (China)

Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

© SPIE. Terms of Use
Back to Top